Development and analysis of a gravity-simulated particle-packing algorithm for modeling optimized rocket propellants

The random heterogeneous morphology of modern solid rocket propellant formulations has traditionally been difficult to characterize and quantify. Current computational simulations of these formulations require an accurate description of the packing arrangement in order to correctly model the complex geometric effects that stem from the random morphology. A new and novel computational packing algorithm was invented, implemented, and analyzed using various particle starting arrangements. This was intended to be fast for use in combinatorial chemistry applications and to provide a numerical representation of the material for use with other computational tools, including codes that predict combustion behavior. The packing algorithms were evaluated using homogeneous distributions of spherical particles. Both the Radial Distribution Function (RDF) and the packing fraction were used to evaluate the validity of the invented algorithm.

Grantor dc:publisher

University of Kansas

Year dc:date.issued

2007

Author dc:creator

• Stockmyer, Mark

• Applied sciences
• Pure sciences
• Combinatorial chemistry
• Modeling
• Packing
• RDF, rocket propellant

Statement dc:rights

• This item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.

Handle dc:identifier.uri

http://hdl.handle.net/1808/32112

OAI identifier oai:identifier

oai:kuscholarworks.ku.edu:1808/32112